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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Performance evaluation of unified medical language system®'s synonyms expansion to query PubMed
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2012
|
| DOI | 10.1186/1472-6947-12-12 |
| Pubmed ID | |
| Authors |
Nicolas Griffon, Wiem Chebil, Laetitia Rollin, Gaetan Kerdelhue, Benoit Thirion, Jean-François Gehanno, Stéfan Jacques Darmoni |
| Abstract |
PubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered under one unique Concept Unique Identifier. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 20% |
| Student > Bachelor | 3 | 15% |
| Other | 2 | 10% |
| Student > Master | 2 | 10% |
| Lecturer | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 25% |
| Computer Science | 4 | 20% |
| Agricultural and Biological Sciences | 3 | 15% |
| Engineering | 2 | 10% |
| Materials Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 March 2012.
All research outputs
#20,156,138
of 22,663,969 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,793
of 1,978 outputs
Outputs of similar age
#140,945
of 155,482 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 29 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 155,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.